An important limitation of the NONMEM compartmental approach is that, since it is only a parametric description of a particular data set, errors may occur when the model is extrapolated beyond this data set.
Feature selection is based on two criteria, namely the reaction of the cross-validation data set classification error due to the removal of the individual features and the diversity of neural networks comprising the committee.
Table 3 shows that a classifier trained on GSE4732_p1 performs reasonably when tested on GSE4475 with the strict BL definition in the latter data set, giving error rates (recall) around 9 % for BL and <2 % for DLBCL.
If one builds a model such as the integrated exposure uptake biokinetic model carefully, using essentially error-free lead exposure data, and applies this model in a different data set with error-prone exposures, the complex mechanistic model will almost certainly do a poor job of prediction, especially of extremes.
Then, Δhf0 is obtained from the slope of the entire data set, reducing errors in the measurement.
Because the latter data set contains errors and is incomplete, we detail the process of cleaning and imputing it to provide a year's worth in hourly increments for two forward operating bases in Afghanistan.
Thus, this application provides an example when the superiority of the π r 1 and π r 2 priors matters to the conclusion that in this data set the errors distribution is leptokurtic.
We checked and corrected the data set for errors using MICRO-CHECKER 2.2.3 [ 61] and MSA 4.00 [ 62].
In the analysis using the combined data set, standard errors were adjusted for non-independence between biomarkers coming from the same individual using the cluster option for clogit in STATA [ 39].
RAD-allele and SNP error rates, percentage of missing data, and mean coverage per locus per sample are reported in table 3. Broadly, for each data set the allele error rate ranges from 3.5%to5.9%9% and the SNP error rate from 1.3%to2.2%2%, with approximately 20% of missing data and a mean coverage of approximately 10.5 (table 3).
